GitLab

Use the mouse to control what part of an image you can see. This demo shows you how easy it is to build rich dynamic studies using only the Builder view.

The classic Stroop task.

Use the mouse to control what part of an image you can see. This demo shows you how easy it is to build rich dynamic studies using only the Builder view.

New Version of an old experiment

Use the mouse to control what part of an image you can see. This demo shows you how easy it is to build rich dynamic studies using only the Builder view.

Use the mouse to control what part of an image you can see. This demo shows you how easy it is to build rich dynamic studies using only the Builder view.

The numerical Stroop (Henik and Tzelgov, 1982).

In this task participants are required to judge whether there are more dots on the left or right side. This experiment is based on Damos and Gibb (1986) experiment.

Use the mouse to control what part of an image you can see. This demo shows you how easy it is to build rich dynamic studies using only the Builder view.

GFMT (Burton et al 2010) is a face perception task to test the ability to tell two faces are the same person

The Attention Network Task (Fan et al., 2002).

stroop

A customizable and extendable change detection experiment written in Psychopy. Designed for the desktop.

The numerical Stroop (Henik and Tzelgov, 1982).

In this task participants are required to judge whether there are more dots on the left or right side. This experiment is based on Damos and Gibb (1986) experiment.

Use the mouse to control what part of an image you can see. This demo shows you how easy it is to build rich dynamic studies using only the Builder view.

test jspsych ju